Thanks for the suggestion, however I'm looking for a score since my goal is to rank thousands of distributions. For instance, given a large text, I would like to rank all terms according to their distribution (dispersion) within the text.
Terms evenly distributed in the text should have a low score. Terms following an uneven distribution should rank higher. Thanks again, -- Sérgio Nunes 2008/6/17 Moshe Olshansky <[EMAIL PROTECTED]>: > You could also look at the difference between your empirical distribution and > the uniform distribution (something like Kolmogorov-Smirnov test). > > > --- On Tue, 17/6/08, S. Nunes <[EMAIL PROTECTED]> wrote: > >> From: S. Nunes <[EMAIL PROTECTED]> >> Subject: [R] Measuring dispersion >> To: [EMAIL PROTECTED] >> Received: Tuesday, 17 June, 2008, 7:56 PM >> Hi, >> >> I'm looking for a function to measure the dispersion of >> a set of >> values ranging from 0 to 1. >> This function should be 0 if all the values are evenly >> spaced within >> the interval and it should be > 0 if values are >> clustered. >> The more clustered the values are, the higher should the >> function be. >> >> An example: >> >> [0; 0.2; 0.4; 0.6; 0.8; 1] - function should be ~ 0 >> [0; 0.1; 0.1; 0.15; 1] - function should be > 1 >> >> This data comes from time-dependent observations recorded >> between a >> start time (0) and an end time (1). >> I want to find out which series are more clustered, i.e. >> less evenly >> distributed. >> >> I'm going to test Kurtosis for this but it doesn't >> seem to be the best >> tool for the job. >> As I understand, Kurtosis evaluates the >> "strength" of a single central >> peak. My data can have multiple peaks (clusters). >> >> Thanks in advance for your comments, >> -- >> Sérgio Nunes >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, >> reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
